CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tears and fears: modeling emotions and emotional behaviors in synthetic agents
Proceedings of the fifth international conference on Autonomous agents
A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
Visualizing the affective structure of a text document
CHI '03 Extended Abstracts on Human Factors in Computing Systems
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
Reasoning about attitudes of complaining customers
Knowledge-Based Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Human-robot interfaces for social interaction
International Journal of Robotics and Automation
Evaluating multimodal affective fusion using physiological signals
Proceedings of the 16th international conference on Intelligent user interfaces
Contextualised ambient intelligence through case-based reasoning
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
The design of artifacts for augmenting intellect
Proceedings of the 4th Augmented Human International Conference
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A key to improving at any task is frequent feedback from people whose opinions we care about: our family, friends, mentors, and the experts. However, such input is not usually available from the right people at the time it is needed most, and attaining a deep understanding of someone else's perspective requires immense effort. This paper introduces a technological solution.We present a novel method for automatically modeling a person's attitudes and opinions, and a proactive interface called "What Would They Think?" which offers the just-in-time perspectives of people whose opinions we care about, based on whatever the user happens to be reading or writing. In the application, each person is represented by a "digital persona," generated from an automated analysis of personal texts (e.g. weblogs and papers written by the person being modeled) using natural language processing and commonsense-based textual-affect sensing.In user studies, participants using our application were able to grasp the personalities and opinions of a panel of strangers more quickly and deeply than with either of two baseline methods. We discuss the theoretical and pragmatic implications of this research to intelligent user interfaces.